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Physics Informed Machine Learning Jobs in Seattle, WA

A degree in computer science, statistics, operations research, applied physics, engineering, or a ... machine learning. Together, we'll develop groundbreaking solutions that empower creatives around ...

... Machine Learning, Robotics, Physics, or a related field, or equivalent experience BONUS POINTS FOR THE FOLLOWING: * Experience with latent dynamics modeling, model-based RL, or physics-informed ...

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

... models are informed by high-quality data and support strategic product goals • Explore and ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high-quality data and support strategic product goals * Explore and ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high-quality data and support strategic product goals * Explore and ...

Sr. Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a ... models are informed by high‑quality data and support strategic product goals. * Explore and ...

Principal Machine Learning Engineer

Bellevue, WA · On-site

$151K - $203K/yr

We are seeking a highly skilled and driven Principal Machine Learning Engineer to design and ... Bachelor's degree in Computer Science, Mathematics, Physics, or related field, with strong ...

Responsibilities : • Develop and validate machine-learning frameworks for FRC plasma-dynamics, leveraging physics-grounded ML approaches (e.g., differentiable physics, PINNs, surrogate modeling, or ...

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Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for physics informed machine learning in Seattle, WA is $22.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $28.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Seattle, WA? For Physics Informed Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Physics Informed Machine Learning jobs? Cities near Seattle, WA with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Seattle, WA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,491 per year, or $22.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Adobe

Seattle, WA • On-site

$172K - $306K/yr

Full-time

Re-posted 26 days ago


Job description

The Opportunity
Adobe Stock's Content Intelligence team is positioned at the center of Adobe's creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world's creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights.
What You'll Do
As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include:

  • Leading the development and improvement of machine learning models that fuel innovation.
  • Collaborating with cross-functional teams to deliver ambitious projects on time.
  • Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
  • Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront.

What You Need to Succeed

  • 5+ years of industry experience in developing, evaluating, and deploying ML models into production.
  • Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
  • Proven experience leading major successful initiatives.
  • Experience working with both research and product teams to ensure seamless integration of new technologies.
  • A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.
    Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions!

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $172,500 -- $306,625 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $211,800 - $306,625 In Washington, the pay range for this position is $201,000 - $291,150

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982